Themis Insight, LLC · 5 months ago
Data Scientist (CO - TS/SCI Poly Required)
Aurora, CO
Full-time
Onsite
Mid, Senior Level
$145K/yr - $180K/yr
3+ years expThemis Insight, LLC is a consulting firm that provides innovative solutions to complex business, IT, and analytic problems. They are hiring Data Scientists to extract meaning from large datasets and communicate findings effectively, utilizing skills in mathematics, statistics, and computer science.
AdviceConsultingSmall and Medium Businesses
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Devise strategies for extracting meaning and value from large datasets
Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge
Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in NSA/CSS data holdings
Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data
Effectively communicate complex technical information to non-technical audiences
Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting NSA/CSS collection, processing, storage and analytic capabilities and limitations
Qualification
Required
TS/SCI with a Polygraph
Employ some combination (2 or more) of the following skill areas: Foundations: Mathematical, Computational, Statistical, Data Processing: Data management and curation, data description and visualization, workflow and reproducibility, Modeling, Inference, and Prediction: Data modeling and assessment, domain-specific considerations
Devise strategies for extracting meaning and value from large datasets
Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge
Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in NSA/CSS data holdings
Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data
Effectively communicate complex technical information to non-technical audiences
Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting NSA/CSS collection, processing, storage and analytic capabilities and limitations
Data Scientist 2 - A Bachelor's degree and 3 years of relevant experience. An Associate's degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
Data Scientist 3 - A Bachelor's degree and 10 years of relevant experience. An Associate's degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence)
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python) and skill in at least one mid-level language (e.g. C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain areas, and/or software engineering
Preferred
Experience in more than three areas is strongly preferred
Benefits
Competitive health, dental, and vision plans with 100% paid premiums.
401k: We contribute 6% even if you don't!
Time Off: 11 standard holidays, and 25 days of PTO
Career Development: Get career counseling and individualized career development plans, including education and training.
Employee referral bonuses for successful hires
Company
Themis Insight, LLC
Themis Insight provides human focused insight to National Security clients.
11-50 employees
Funding
Current Stage
Early StageLeadership Team
R
Ryan Hollingsworth
Principal & Co-Founder
Company data provided by crunchbase